![]() ![]() Passing ‘offset=True’ will slightly offset each dataset so overlappingĮrrorbars are still visible. Make a matplotlib errorbar plot, with all Hists in the stack overlaid. Make a matplotlib bar plot, with each Hist stacked upon the last.Īny additional keyword arguments will be passed to pyplot.bar. Make a horizontal clustered matplotlib bar plot.Īny additional keyword arguments will be passed to pyplot.barh. bar3d ( **kwargs ) ¶ Info barh ( **kwargs ) ¶ Probably want to include a transparency value (i.e. Make a matplotlib bar plot, with all Hists in the stack overlaid.Īny additional keyword arguments will be passed to pyplot.bar. add ( hist, replace=None, **kwargs ) ¶Īny additional keyword arguments will be added to just this Hist Will be used unless specified otherwise in the constructor. When plotting, the title and the x and y labels of the last Hist added HistStack ( hists=None, title=None, xlabel=None, ylabel=None, replace=None ) ¶Ī container to hold Hist objects for plotting together. contour ( **kwargs ) ¶ Draw a contour plot. colz ( **kwargs ) ¶ Draw a colored box plot with a colorbar using pyplot.imshow. col ( **kwargs ) ¶ Draw a colored box plot using pyploy.imshow. The data will be normalized, with the largest box using a marker of box ( maxsize=40, **kwargs ) ¶ĭraw a box plot with size indicating content using pyplot.scatter. Hist2D ( hist, replace=None, label='_nolabel_', title=None, xlabel=None, ylabel=None ) ¶Ī container to hold the paramters from a 2D ROOT histogram. show_titles ( ) ¶ Add the titles defined in the ROOT histogram to the figure. scale ( factor ) ¶ Scale contents, errors, and over/underflow by the given scale factor. min ( threshold=None ) ¶ Return the y-value of the bottom tip of the lowest errorbar. hist ( **kwargs ) ¶Īll additional keyword arguments will be passed to pyplot.hist. ![]() Generate a horizontal matplotlib errorbar figure.Īll additional keyword arguments will be passed to pyplot.errorbar. errorbarh ( xerr=False, yerr=False, **kwargs ) ¶ errorbar ( xerr=False, yerr=False, **kwargs ) ¶Īll additional keyword arguments will be passed to pyplot.errorbar. This function is called by the division operator: hist3 = hist1.divide_wilson(hist2) hist3 = hist1 / hist2 divide_wilson ( denominator ) ¶ Return an efficiency plot with Wilson score interval errors. Return the simple quotient with errors added in quadrature. ![]() This can be useful for histograms with labeled bins. delete_bin ( index ) ¶ Delete a the contents of a bin, sliding all the other data one bin to Generate a horizontal matplotlib bar figure.Īll additional keyword arguments will be passed to pyplot.barh. TH1F ( name='' ) ¶ Return a ROOT.TH1F object with the contents of this Hist bar ( xerr=False, yerr=False, **kwargs ) ¶Īll additional keyword arguments will be passed to pyplot.bar. Hist ( hist, replace=None, label='_nolabel_', title=None, xlabel=None, ylabel=None ) ¶Ī container to hold the parameters from a ROOT histogram. savefig ( 'second' )Ĭore implementation of the module class re. add ( hist2, color = colors, label = "ttbar", replace = replace ) stack. add ( hist1, color = colors, label = "ZMM", replace = replace ) stack. ![]() TH1F ( "hpx", "Distribution of p_$' )] hist1 = r2m. Import root2matplot as r2m import ROOT from matplotlib import pyplot as plt from random import gauss th1f = ROOT. You may want to use root2matplot to achieve effects or complex diagrams that would be difficult or impossible in ROOT, or you may simply want to recreate a ROOT figure with the higher-quality text available through a LaTeX engine.įor immediate figures with a minimum of effort (with output directly from ROOT or through matplotlib, take a look at the section on the overlayHists command-line tool, which is included in root2matplot Some possibilities in matplotlib that are unavailable in ROOT include transparent fills and text output using LaTeX. The goal of root2matplot is to enable easy plotting of ROOT histograms using the full-featured and mature matplotlib library. The pyROOT interface to ROOT makes it easy to have ROOT objects interact with other python modules. It becomes useful, then, to consider using an outside library focused on graphics for producing final plots. The framework includes quite a bit of graphical capabilities, but producing high-quality graphics output was not the first priority in designing its capabilities or its interface. ROOT is a powerful data analysis tool within the particle physics community, and the primary lens through which we see our data. Root2matplot is deprecated! The same functionality has been moved to a new package called rootplot: ![]()
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